package growth

import "testing"

func TestCatalog1405IsValidAndDefensivelyCopied(t *testing.T) {
	first := Catalog1405()
	if err := ValidateCatalog(first); err != nil {
		t.Fatalf("catalog should be valid: %v", err)
	}
	first[0].Tags[0] = "mutated"
	second := Catalog1405()
	if second[0].Tags[0] == "mutated" {
		t.Fatal("catalog tags escaped through a shared backing array")
	}
}

func TestValidateCatalogRejectsDuplicateAndIncompleteEvents(t *testing.T) {
	event := catalogEvent("duplicate", "رویداد", "2026-01-01", "2026-01-01", "family", EventOfficial, []string{"tag"})
	if err := ValidateCatalog([]Event{event, event}); err == nil {
		t.Fatal("expected duplicate id error")
	}
	event.Source = ""
	if err := ValidateCatalog([]Event{event}); err == nil {
		t.Fatal("expected missing source error")
	}
}

func TestAnalyzeEventEffectExcludesCatalogEventsFromBaseline(t *testing.T) {
	target := Event{ID: "target", StartDate: date("2026-05-02"), EndDate: date("2026-05-02")}
	excluded := Event{ID: "other", StartDate: target.StartDate.AddDate(0, 0, -7), EndDate: target.StartDate.AddDate(0, 0, -7)}
	history := make([]DailyPoint, 0, 9)
	for week := 1; week <= 8; week++ {
		count := int64(30)
		if week == 1 {
			count = 1_000
		}
		history = append(history, DailyPoint{Date: target.StartDate.AddDate(0, 0, -7*week), SessionCount: count, PaidSessionCount: count, PaidAmountRial: count * 100})
	}
	history = append(history, DailyPoint{Date: target.StartDate, SessionCount: 50, PaidSessionCount: 50, PaidAmountRial: 5_000})
	effect := AnalyzeEventEffect(history, target, []Event{excluded})
	if effect.ObservationCount != 7 || effect.BaselineSessionCount != 30 || !effect.MaterialWin {
		t.Fatalf("catalog event polluted baseline: %+v", effect)
	}
}

func TestForecastSuppressesPoorBacktest(t *testing.T) {
	start := date("2026-07-01")
	history := make([]DailyPoint, 0, 90)
	for i := 90; i > 0; i-- {
		value := int64(100)
		if i%2 == 0 {
			value = 1_000
		}
		history = append(history, DailyPoint{Date: start.AddDate(0, 0, -i), SessionCount: value, PaidSessionCount: value, PaidAmountRial: value * 1_000})
	}
	forecast := BuildForecast(history, nil, start, 90)
	if forecast.Confidence != ConfidenceInsufficientData || len(forecast.Points) != 0 {
		t.Fatalf("poor model should be suppressed: %+v", forecast)
	}
}